生物
计算生物学
核糖核酸
表观遗传学
RNA序列
转录组
深度测序
单细胞测序
遗传学
基因
基因表达
外显子组测序
基因组
表型
DNA甲基化
作者
Hui‐Qi Qu,Charlly Kao,Håkon Håkonarson
出处
期刊:Stem Cells
[Wiley]
日期:2023-11-02
卷期号:42 (1): 1-12
被引量:8
标识
DOI:10.1093/stmcls/sxad077
摘要
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity and the dynamics of gene expression, bearing profound significance in stem cell research. Depending on the starting materials used for analysis, scRNA-seq encompasses scRNA-seq and single-nucleus RNA sequencing (snRNA-seq). scRNA-seq excels in capturing cellular heterogeneity and characterizing rare cell populations within complex tissues, while snRNA-seq is advantageous in situations where intact cell dissociation is challenging or undesirable (eg, epigenomic studies). A number of scRNA-seq technologies have been developed as of late, including but not limited to droplet-based, plate-based, hydrogel-based, and spatial transcriptomics. The number of cells, sequencing depth, and sequencing length in scRNA-seq can vary across different studies. Addressing current technical challenges will drive the future of scRNA-seq, leading to more comprehensive and precise insights into cellular biology and disease mechanisms informing therapeutic interventions.
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